Metaheuristic and machine learning optimization strategies for complex systems /

Bibliographic Details
Other Authors:	Mothilal, T. (Editor), S., Kaliappan (Editor), M., Suchithra (Editor), R., Thanigaivelan (Editor)
Format:	eBook
Language:	English
Published:	Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024.
Subjects:	Algorithms. System analysis. Machine learning. Internet of things. Algorithmes. Analyse de systèmes. Apprentissage automatique. Internet des objets. algorithms. systems analysis. Cloud Computing. Complex Systems. Computer Communications. Distribution System Reconfiguration. Genetic Algorithm Optimization. Hybrid Renewable Energy Systems. Internet of Things (IoT). Machine Learning. Metaheuristic Algorithms. Performance Evaluation. Sensor-Based Health Monitoring. Simulation-Driven Metaheuristic Algorithms. Electronic books.

Table of Contents:

Chapter 1. Experimental investigation and comparative analysis of an efficient machine learning algorithm for distribution system reconfiguration
Chapter 2. Integrated approach for network intrusion detection: combining KNN algorithm, Karhunen-Loève transform, and genetic algorithm optimization
Chapter 3. Machine learning for the detection of uniform resource locator phishing
Chapter 4. Machine learning in industrial IoT applications for safety, security, asset localization, quality assurance, and sustainability in smart production
Chapter 5. Machine learning in industry IoT (IIoT)
Chapter 6. Machine learning in IoT for smart home automation
Chapter 7. Meta-heuristics algorithm for computer communications
Chapter 8. Meta-heuristic and machine learning modelling and optimizing complex systems
Chapter 9. Meta-heuristic algorithms for optimal sizing of HRES
Chapter 10. Meta-heuristic algorithms for optimal sizing of hybrid renewable energy systems
Chapter 11. Meta-heuristic algorithms for optimal sizing of hybrid renewable energy systems
Chapter 12. Metaheuristic algorithms for robot path planning: a comprehensive exploration
Chapter 13. Meta-heuristic optimization for enhanced sensor-based health monitoring in cloud computing environments
Chapter 14. Meta-heuristics and machine learning applications in complex systems
Chapter 15. Metaheuristics and machine learning convergence: a comprehensive survey and future prospects
Chapter 16. Optimizing optical fiber path in wavelength division multiplexing networks using particle swarm optimization
Chapter 17. Performance evaluation of simulation-driven metaheuristic algorithms: efficiency and effectiveness measures in the search for quality solutions.